Jun Qi - RankMe

57 papers A 3C 2Misc 15Journal 34Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing. CoRR Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor, Ling Li, Min-Hsiu Hsieh
2026	J	`jnl`	Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial Intelligence. CoRR Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh, Hector Zenil, Jesper Tegnér
2026	J	`jnl`	Random-Matrix-Induced Simplicity Bias in Over-parameterized Variational Quantum Circuits. CoRR Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh
2025	J	`jnl`	Estimating Time Series Foundation Model Transferability via In-Context Learning. CoRR Qingren Yao, Ming Jin, Chengqi Zhang, Chao-Han Huck Yang, Jun Qi, Shirui Pan
2025	J	`jnl`	Joint Tensor-Train Parameterization for Efficient and Expressive Low-Rank Adaptation. CoRR Jun Qi, Chen-Yu Liu, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Min-Hsiu Hsieh
2025	Misc	`conf`	Projection Valued-based Quantum Machine Learning Adapting to Differential Privacy Algorithm for Word-level Lipreading. ICASSP Hang Chen, Chang Wang, Jun Du, Chao-Han Huck Yang, Jun Qi
2025	C	`conf`	Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning. ISCAS Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen
2025	J	`jnl`	VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning. CoRR Jun Qi, Chao-Han Yang, Pin-Yu Chen, Min-Hsiu Hsieh
2024	Misc	`conf`	Exploiting A Quantum Multiple Kernel Learning Approach For Low-Resource Spoken Command Recognition. ICASSP Xianyan Fu, Xiao-Lei Zhang, Chao-Han Huck Yang, Jun Qi
2024	J	`jnl`	Interpretable Spectrum Transformation Attacks to Speaker Recognition Systems. IEEE ACM Trans. Audio Speech Lang. Process. Jiadi Yao, Hong Luo, Jun Qi, Xiao-Lei Zhang
2024	J	`jnl`	Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits. CoRR Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen, Hector Zenil, Jesper Tegnér
2024	J	`jnl`	Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning. CoRR Jun Qi, Chao-Han Yang, Samuel Yen-Chi Chen, Pin-Yu Chen
2023	J	`jnl`	Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing. IEEE ACM Trans. Audio Speech Lang. Process. Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor
2023	J	`jnl`	Mitigating Clipping Distortion in Multicarrier Transmissions Using Tensor-Train Deep Neural Networks. IEEE Trans. Wirel. Commun. Muhammad Shahmeer Omar, Jun Qi, Xiaoli Ma
2023	Misc	`conf`	Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent. ICASSP Jun Qi, Xiao-Lei Zhang, Javier Tejedor
2023	J	`jnl`	Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent. CoRR Jun Qi, Xiao-Lei Zhang, Javier Tejedor
2022	—	`conf`	An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition. ISCSLP Chao-Han Huck Yang, Jun Qi, Sabato Marco Siniscalchi, Chin-Hui Lee
2022	J	`jnl`	An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition. CoRR Chao-Han Huck Yang, Jun Qi, Sabato Marco Siniscalchi, Chin-Hui Lee
2022	Misc	`conf`	Classical-To-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks. ICASSP Jun Qi, Javier Tejedor
2022	Misc	`conf`	Exploiting Hybrid Models of Tensor-Train Networks For Spoken Command Recognition. ICASSP Jun Qi, Javier Tejedor
2022	J	`jnl`	Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition. CoRR Jun Qi, Javier Tejedor
2022	J	`jnl`	Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing. CoRR Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor
2022	—	`—`	Theoretical Error Performance Analysis for Deep Neural Network Based Regression Functional Approximation. Jun Qi
2022	J	`jnl`	Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression. CoRR Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh
2022	Misc	`conf`	When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. ICASSP Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen
2022	J	`jnl`	When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. CoRR Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen
2021	J	`jnl`	Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks. CoRR Jun Qi, Javier Tejedor
2021	Misc	`conf`	Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. ICASSP Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
2021	J	`jnl`	Designing Tensor-Train Deep Neural Networks For Time-Varying MIMO Channel Estimation. IEEE J. Sel. Top. Signal Process. Jing Zhang, Xiaoli Ma, Jun Qi, Shi Jin
2021	J	`jnl`	QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks. CoRR Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen
2020	J	`jnl`	Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression. CoRR Jun Qi, Jun Du, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
2020	J	`jnl`	Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression. IEEE Trans. Signal Process. Jun Qi, Jun Du, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
2020	Misc	`conf`	Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement. ICASSP Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee
2020	J	`jnl`	Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement. CoRR Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee
2020	J	`jnl`	Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. CoRR Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
2020	Misc	`conf`	Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning. ICASSP Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma
2020	J	`jnl`	Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning. CoRR Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma
2020	A	`conf`	Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement. INTERSPEECH Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
2020	J	`jnl`	Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement. CoRR Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
2020	J	`jnl`	On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression. CoRR Jun Qi, Jun Du, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
2020	J	`jnl`	On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression. IEEE Signal Process. Lett. Jun Qi, Jun Du, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
2020	Misc	`conf`	Performance Analysis for Tensor-Train Decomposition to Deep Neural Network Based Vector-to-Vector Regression. CISS Jun Qi, Xiaoli Ma, Chin-Hui Lee, Jun Du, Sabato Marco Siniscalchi
2020	Misc	`conf`	Submodular Rank Aggregation on Score-Based Permutations for Distributed Automatic Speech Recognition. ICASSP Jun Qi, Chao-Han Huck Yang, Javier Tejedor
2020	J	`jnl`	Submodular Rank Aggregation on Score-based Permutations for Distributed Automatic Speech Recognition. CoRR Jun Qi, Chao-Han Huck Yang, Javier Tejedor
2020	Misc	`conf`	Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network. ICASSP Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
2020	J	`jnl`	Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train Network. CoRR Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
2020	J	`jnl`	Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding. CoRR Jun Qi, Xu Liu, Javier Tejedor
2020	J	`jnl`	Variational Quantum Circuits for Deep Reinforcement Learning. IEEE Access Samuel Yen-Chi Chen, Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Hsi-Sheng Goan
2019	J	`jnl`	A Theory on Deep Neural Network Based Vector-to-Vector Regression With an Illustration of Its Expressive Power in Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. Jun Qi, Jun Du, Sabato Marco Siniscalchi, Chin-Hui Lee
2018	Misc	`conf`	Distributed Submodular Maximization for Large Vocabulary Continuous Speech Recognition. ICASSP Jun Qi, Xu Liu, Shunsuke Kamijo, Javier Tejedor
2017	J	`jnl`	Unsupervised Submodular Rank Aggregation on Score-based Permutations. CoRR Jun Qi, Javier Tejedor
2016	Misc	`conf`	Deep multi-view representation learning for multi-modal features of the schizophrenia and schizo-affective disorder. ICASSP Jun Qi, Javier Tejedor
2016	Misc	`conf`	Robust submodular data partitioning for distributed speech recognition. ICASSP Jun Qi, Javier Tejedor
2015	—	`conf`	Improving bottleneck features for automatic speech recognition using gammatone-based cochleagram and sparsity regularization. APSIPA Chao Ma, Jun Qi, Dongmei Li, Runsheng Liu
2013	C	`conf`	Auditory features based on Gammatone filters for robust speech recognition. ISCAS Jun Qi, Dong Wang, Yi Jiang, Runsheng Liu
2013	A	`conf`	Bottleneck features based on gammatone frequency cepstral coefficients. INTERSPEECH Jun Qi, Dong Wang, Ji Xu, Javier Tejedor
2013	A	`conf`	Subspace models for bottleneck features. INTERSPEECH Jun Qi, Dong Wang, Javier Tejedor